University of hagen at CLEF 2004: indexing and translating concepts for the GIRT task

  • Authors:
  • Johannes Leveling;Sven Hartrumpf

  • Affiliations:
  • Intelligent Information and Communication Systems, University of Hagen (FernUniversität in Hagen), Hagen, Germany;Intelligent Information and Communication Systems, University of Hagen (FernUniversität in Hagen), Hagen, Germany

  • Venue:
  • CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
  • Year:
  • 2004

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Abstract

This paper describes the second participation of the University of Hagen in the German Indexing and Retrieval Test (GIRT) task of the CLEF 2004 evaluation campaign with both monolingual and bilingual information retrieval experiments. For monolingual experiments with the German document collection, the focus is on applying and comparing three indexing methods targeting word forms, disambiguated concepts, and extended semantic networks. The bilingual experiments for retrieving English documents for German topics rely on translating and expanding query terms based on ranking semantically related English terms for a German concept. English translations are compiled from heterogeneous resources, including multilingual lexicons such as EuroWordNet and dictionaries available online.